This paper briefly introduces the Linux system, and puts forward some specific measures to solve the security of the server. It includes five aspects: user rights configuration, system service configuration, firewall configuration, system optimization and log management. In the user configuration, the order strategies of user, password, logout and permissions are proposed; in the service configuration, the solutions of the motherboard, Bluetooth, network interface and storage are put forward; it is proposed that the firewall should be kept open; in the system optimization, the optimization strategies of the swap partition, management interface network and IP logo are proposed; it puts forward a series of commands in the log management. It is hoped that the Linux server security and deployment discussed in this paper can provide reference for practical operation.

Addressing the issue of inadequate classification accuracy in named entity recognition via entity word-to-relationship modeling, we propose a method using rotational attention. Firstly, the text is encoded using the BERT model and Bi-LSTM, fol‐ lowed by extraction of features from input text using convolutional neural networks. Subsequently, the extracted feature sequence is inputted into the rotational attention model for output probability calculations, and the MLP layer is used for output classification. The study's outcomes affirm the efficacy and feasibility of the technique proposed in this paper, as it successfully yields superior re‐ sults on mainstream English databases including CADEC, GENIA and CoNLL2003, for named entity recognition exercise. 

Recognizing emotions through facial expressions has been widely applied in normal life. Among deep learning algo‐ rithms, Convolutional Neural Networks (CNN) have achieved great success in the field of facial expression recognition. However, it still faces the problem of information redundancy and data deviation, which affects the performance of facial expression recognition algorithm. Therefore, a Multi-scale Image Convolutional Network (GCN) based on landmarks extracted from facial images is pro‐ posed. The proposed method is simulated on CK+, JAFFE, FER2013 and RAF-DB datasets. The results show that the proposed method is superior to AUDN, BDBN, SCNN and other traditional deep learning frameworks, and has higher accuracy on different data sets.

In order to design a smart home control system that is easy for users to use, this system takes STM32F103 microcontroller as the control center and combines hc-05 Bluetooth module, non-ad hoc voice recognition module and GSM module to form a set of multi-functional control system.The system usesMQ-2 smoke sensor, HC-SR501 human induction module, DHT11 temperature and humidity sensor and relay to detect and process the indoor environment, and then displays the indoor environment status through TFT display screen.The system can control indoor lighting, curtains and fans through mobile phones with Bluetooth function and user voice.In an emergency, alert the user by sending an alarm text message within 10 seconds using the GSM network. The system has the advantages of good performance, simple operation, low cost and so on.

In traditional teaching, due to differences in teachers, the knowledge connections between different courses are often over‐ looked, resulting in excessive repetition or failure to integrate new and old knowledge points. To make the knowledge points more smoothly connected in teaching, we help students to establish a knowledge connection system. Firstly, we organize a teaching salon where teachers fill out a teaching knowledge connection table to find fusion points between courses. Secondly, we use holographic projection technology to build a holographic projection pyramid. Finally, we use holographic projection during the teaching to help students recall previously learned knowledge and better integrate it with new knowledge, and understand new information. To sum up, holographic projection technology visualizes models in courses, deepens students' impressions, increases visual stimulation dur‐ ing learning, and enhances students' interest in learning. This innovative form of teaching tool and teaching method helps to deepen students' understanding and absorption of knowledge.

With the popularization of the internet and social media, the impact of network public opinion on the social level cannot be underestimated, and sentiment analysis in network public opinion is of utmost importance. This paper collects, organizes, and summarizes relevant literature on sentiment analysis in network public opinion research in China, adopting bibliometric methods to analyze the quantity of literature, co-occurrence of high-frequency keywords, and evolution of theme keywords. Following the pro‐ cess of sentiment analysis in network public opinion research, this study analyzes the main research content, ideas, and methods in data collection, data processing, sentiment recognition(classification/tendency),sentiment evolution. Finally, this study points out fu‐ ture research directions, and gives the working directions of next steps.

Based on the core technology of the next generation Internet IPv6, which has the characteristics of large enough address space, higher security, better service quality and supporting mobile terminal equipment, the information development of universities is gradually promoting the IPv6 network deployment and IPv6 network application of information system. However, in the process of promoting IPv6 network deployment and access of application systems in universities, there are still some problems that some un‐ derlying network devices do not support IPv6 protocol, and security devices cannot achieve comprehensive control. In order not to change the current school network architecture, without affecting the current IPv4 network access, this paper puts forward the imple‐ mentation of IPv6 network deployment and access for college Web application system based on the intelligent DNS and reverse proxy. This technology has the characteristics of simple principle, strong stability, high security and easy maintenance. Through link‐ age deployment, IPv6 network access and IPv4 access security reinforcement of the school application system are realized, which provides reference practice for the deployment of IPv6 network application.

The SIEMENS S7-1200 PLC is connected with the SmartLink adapter by five kinds of twisted pair cable, so as to realize the remote control of IO module in communication, and realize data exchange in the same ProfiNet Industrial Ethernet bus. This paper introduces the framework of the control system, the topological structure of SmartLink remote intelligent IO in detail; introduces how to complete hardware configuration, parameter setting and data transmission in SIEMENS TIA Portal software; and completes the management control of distributed IO actuators with FB.

To address the problem of poor localization performance caused by the small number of fingerprint points and the lack of representativeness of fingerprint features in the offline phase of fingerprint-based indoor localization, a CSI-based indoor localiza‐ tion method is proposed using Inverse Distance Weighted (IDW) interpolation and amplitude-phase fusion network. The IDW inter‐ polation algorithm is used to generate a large-capacity fingerprint library. Then, a parallel convolutional neural network (CNN) is used to process the amplitude and phase to obtain the positional fingerprint features. Finally, a novel integrated architecture fusing Random Forest (RF) and Multilayer Perceptron (MLP) is used for classification to obtain the estimated positions of the target loca‐ tion samples.

With the increasing influence of mobile Internet on young readers in university libraries, the proportion of new generation readers using QQ instant messaging software is increasing, text mining of library QQ group text information can be used to under‐ stand the public sentiment of the library, which can be used for library public sentiment warning and provide strong public sentiment response capabilities for library decision-makers. Web crawler technology is used to crawl chat records in QQ groups from Septem‐ ber 2022 to December 2022 as library public sentiment data, then performing data preprocessing operations such as deduplication and cleaning on the original public sentiment data. Then, Tsinghua University's Thulac segmentation technology is used to extract keywords and calculate their weights from the public sentiment data, and them the WordCloud library is used for visualization. Next, the spaCy library is used to to calculate specific emotional tendencies and scores for public opinion data, and finally the emotional tendencies of library public opinion are analyzed through experiments.

Based on the basic principles of the four-step method (1×1) weaving technology, a detailed analysis is conducted on the periodic motion of the yarn carrier and the trajectory of the yarn in space during the weaving process. Utilizing Matlab software, two binary variables are defined to track the regular movement of the yarn carrier in a programmatic form. Based on a series of hypotheti‐ cal conditions for the yarn, the internal structure of three-dimensional woven composite materials is represented using an inner cell characterization, and a three-dimensional four-directional structure unit cell model is established. Meanwhile, by providing the spa‐ tial coordinates of the yarn, the modeling of the three-dimensional woven composite material preform is completed using Texgen software.

This research is proposed on the analysis and classification of the account risk of the financial terminal to put forward the corresponding design principles and schemes of risk prevention. A new generation of a unified platform for financial terminal application integrating accounting risk prevention is developed, which is applied to the operation of tens of thousands of financial terminals of a large domestic bank. Practice shows that the risk prevention scheme proposed in this research can effectively enhance the financial security of banks and users and can significantly reduce the number of accounting disputes between banks and financial end-users.